What problem does it solve? Random guess-and-check fixes waste hours and introduce new bugs. This Skill enforces a systematic debugging discipline: investigate the root cause first, fix at the source, validate at every layer, and verify with fresh evidence before claiming anything is done. ## Core Features & Use Cases - Four-Phase Systematic Debugging: Root cause investigation, pattern analysis, hypothesis testing, and implementation, with explicit red flags that stop premature fixes. - System-Level Investigation: Five-step methodology for server incidents, CI/CD pipeline failures (via gh CLI log analysis), database issues, and performance degradation. - Defense-in-Depth & Verification: Add validation at entry, business logic, environment, and instrumentation layers, plus an iron law requiring fresh command output before any completion claim. - Use Case: A test suite creates a stray .git directory in your source tree. Use the root-cause tracing technique and the included find-polluter.sh bisection script to identify the exact polluting test, then fix the empty-path bug at its source. ## Quick Start Ask the AI to debug a failing test or investigate a CI failure using systematic root-cause analysis instead of guessing at fixes.